Stacking is a powerful technique in the world of AI that has the potential to unlock new frontiers in machine learning. Rather than relying on a single algorithm to process complex data, stacking combines multiple algorithms to create a more comprehensive and accurate output. This approach is particularly useful in fields like image recognition and natural language processing, where accuracy is key. Stacking's ability to compensate for the weaknesses of individual models and bring together the strengths of each is what makes it so valuable.
